Genomic data of two Greek Vitis varieties

George Tsiolas; Sofia Michailidou; Antiopi Tsoureki; Anagnostis Argiriou

doi:10.1016/j.dib.2022.108216

Genomic data of two Greek Vitis varieties

Data Brief. 2022 Apr 27:42:108216. doi: 10.1016/j.dib.2022.108216. eCollection 2022 Jun.

Authors

George Tsiolas¹, Sofia Michailidou¹, Antiopi Tsoureki¹, Anagnostis Argiriou^{1

2}

Affiliations

¹ Institute of Applied Biosciences / CERTH, P.O. Box 60361, Thermi 57001, Thessaloniki, Greece.
² Department of Food Science and Nutrition / University of the Aegean, Lemnos 81400, Greece.

Abstract

The genetic material of Vitis varieties is crucial for the wine sector. In addition, genomic technologies applied in vitis germplasm characterization are important for the conservation of indigenous genetic reservoirs. Until recently the most common method to genetically identify vitis varieties was the use of Simple Sequence Repeats (SSR) along with SNP chips. Yet, with the progress in Next Generation Sequencing (NGS) technologies and the reduced sequencing cost per base, a twist in plant species genetic identification methods has occurred. Among them, the low coverage Whole-Genome Sequencing (lcWGS) method with downstream bioinformatic analysis for variant discovery and phylogenetic characterization is gaining scientific attention. In this dataset, shotgun sequencing data of two different Greek Vitis varieties, 'Razaki' and 'Vlachiko' are presented. Vitis cultivars were collected from the Aristotle University of Thessaloniki's (AUTH) ampelographic collection and have been previously phenotypically and genetically characterized. WGS libraries were sequenced on an Illumina^Ⓡ NovaSeq 6000 platform with the Illumina^Ⓡ NovaSeq 6000 S2 Reagent Kit (300 cycles). Raw sequence data used for analysis are available in NCBI under the Sequence Read Archive (SRA), with BioProject ID PRJNA805368. Reads were aligned to the reference genome of Vitis vinifera available from the EnsemblPlants database and formal analysis was conducted with the Genome Analysis Toolkit 4 (GATK4) pipeline. Data can be used to enrich our knowledge related to the genetic background of vitis cultivars and can also serve as a threshold in the scientific community towards the construction of a genomic database of vitis cultivars.

Keywords: SNPs; Variant analysis; Vitis cultivars; Whole-genome sequencing.